{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "056197a4-7538-48cb-8cd7-5b871cec18e1",
   "metadata": {},
   "source": [
    "# Zero-shot operon prediction tutorial\n",
    "\n",
    "This tutorial outlines how one can use genome embeddings from pretrained Bacformer combined with other data to predict whether pairs of contiguous genes are in the same operon.\n",
    "\n",
    "We provide a dataset obtained by running long-read RNA sequencing on 5 distinct strains and show how to embed the genomes with Bacformer and use the resulting embeddings combined with information on `intergenic distance (bp)` and `strand` to predict whether the two genes are in the same operon.\n",
    "\n",
    "Before you start, make sure to have the [bacformer](https://github.com/macwiatrak/Bacformer) package installed.\n",
    "\n",
    "## Step 1: Import required dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d49198ed-9e74-4d7c-8352-6319fd93ad9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from bacformer.pp import embed_dataset_col\n",
    "from bacformer.tl import (\n",
    "    get_intergenic_bp_dist,\n",
    "    operon_prot_indices_to_pairwise_labels,\n",
    "    predict_pairwise_operon_boundaries,\n",
    ")\n",
    "from datasets import load_dataset\n",
    "from sklearn.metrics import roc_auc_score, auc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d12e7d29-c96d-4ec9-8052-2c8b344b6ca6",
   "metadata": {},
   "source": [
    "## Step 2: Load the dataset\n",
    "\n",
    "Load the dataset from HuggingFace. The dataset consists of protein sequences and operon annotations extracted\n",
    "by running long-read RNA sequencing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e645ca9b-0ea5-473e-a580-d6ca02314118",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the dataset\n",
    "dataset = load_dataset(\"macwiatrak/operon-identification-long-read-rna-sequencing\", split=\"test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04a5612a-08da-44c3-96be-29c66ea025ff",
   "metadata": {},
   "source": [
    "## Step 3: Compute Bacformer embeddings\n",
    "\n",
    "Convert the protein sequences to genome embeddings. This is done in 2 steps:\n",
    "1. Embed the protein sequences with the base pLM model which is [ESM-2 t12 35M](https://huggingface.co/facebook/esm2_t12_35M_UR50D).\n",
    "2. Use the protein embeddings as input to the Bacformer model which computes contextual protein embeddings and takes the average of them to get genome embedding.\n",
    "\n",
    "This step takes a few min max on a single A100 NVIDIA GPU."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba506b1d-fc52-4781-bdeb-4da70a145de9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# embed the protein sequences with Bacformer and convert to pandas\n",
    "df = embed_dataset_col(\n",
    "    dataset=dataset,\n",
    "    model_path=\"macwiatrak/bacformer-masked-complete-genomes\",\n",
    "    model_type=\"bacformer\",\n",
    "    max_n_proteins=9000,\n",
    "    genome_pooling_method=None,\n",
    ").to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6832b58d-922f-4bb3-ae8e-9723f7539a79",
   "metadata": {},
   "source": [
    "## Step 4: Postprocessing\n",
    "\n",
    "Perform postprocessing, computing pairwise labels, intergenic bp distance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b17ccdb9-3860-4a19-855e-7b818a4b6d4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# explode the dataset by contig, this allows prediction per contig\n",
    "df = df.explode(\n",
    "    [\n",
    "        \"contig_name\",\n",
    "        \"gene_name\",\n",
    "        \"locus_tag\",\n",
    "        \"start\",\n",
    "        \"end\",\n",
    "        \"strand\",\n",
    "        \"protein_id\",\n",
    "        \"embeddings\",\n",
    "        \"operon_prot_indices\",\n",
    "    ]\n",
    ")\n",
    "\n",
    "# compute the intergenic distances\n",
    "df[\"intergenic_bp\"] = df.apply(\n",
    "    lambda row: get_intergenic_bp_dist(\n",
    "        starts=row[\"start\"],\n",
    "        ends=row[\"end\"],\n",
    "    ),\n",
    "    axis=1,\n",
    ")\n",
    "\n",
    "# get the labels\n",
    "df[\"operon_pairwise_labels\"] = df.apply(\n",
    "    lambda row: operon_prot_indices_to_pairwise_labels(\n",
    "        operon_prot_indices=row[\"operon_prot_indices\"],\n",
    "        n_genes=len(row[\"embeddings\"]),\n",
    "    ),\n",
    "    axis=1,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6eedb1ef-e96c-4894-ac9b-4fa35373e9ad",
   "metadata": {},
   "source": [
    "## Step 5: Perform operon prediction\n",
    "\n",
    "Using (1) Bacformer embeddings, (2) intergenic distance (bp) and (3) gene strand information, perform operon prediction\n",
    "for pairs of contiguous genes. The result is a score between two genes, with high score implying high probability\n",
    "of the two genes being in the same operon.\n",
    "\n",
    "For more details on how we perform the prediction see `bacformer.tl.operon_prediction.predict_pairwise_operon_boundaries`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fe2b700-4b86-4a48-bdb8-63d2b768280b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# run the operon prediction\n",
    "df[\"operon_pairwise_scores\"] = df.apply(\n",
    "    lambda row: predict_pairwise_operon_boundaries(\n",
    "        emb=np.stack(row[\"embeddings\"]),\n",
    "        intergenic_bp=row[\"intergenic_bp\"],\n",
    "        strand=row[\"strand\"],\n",
    "        scale_bp=500,\n",
    "        max_gap=500,\n",
    "    ),\n",
    "    axis=1,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "994608a5-b24f-4379-b139-5ae1d642dbf5",
   "metadata": {},
   "source": [
    "## Step 6: Plot the results\n",
    "\n",
    "Plot the AUROC curves per contig."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "67012d8f-29c1-43c2-9b17-afbd22df60a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get contig label combining strain name and contig name\n",
    "df['contig_label'] = df.apply(lambda row: f\"{row.strain_name} ({row.contig_name})\", axis=1)\n",
    "\n",
    "# plot AUROC curves\n",
    "for _, row in df.iterrows():\n",
    "    y_true  = row[\"operon_pairwise_labels\"]\n",
    "    y_score = row[\"operon_pairwise_scores\"]\n",
    "    contig  = row[\"contig_label\"]\n",
    "\n",
    "    fpr, tpr, _ = roc_curve(y_true, y_score)\n",
    "    roc_auc     = auc(fpr, tpr)\n",
    "\n",
    "    plt.plot(fpr, tpr,\n",
    "             lw=1.8,\n",
    "             label=f\"{contig}  (AUC = {roc_auc:.3f})\")\n",
    "\n",
    "# -----------------------------------------------------------\n",
    "# 2)  Plot formatting\n",
    "# -----------------------------------------------------------\n",
    "plt.plot([0, 1], [0, 1], linestyle=\"--\", color=\"grey\", lw=1)   # chance line\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel(\"False Positive Rate\")\n",
    "plt.ylabel(\"True Positive Rate\")\n",
    "plt.title(\"Operon pairwise AUROC per contig\")\n",
    "plt.legend(loc=\"lower right\", fontsize=6.5, frameon=False)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "165b8f3d-3894-471b-b5b7-1f1a2baf4b95",
   "metadata": {},
   "source": [
    "----------------------\n",
    "\n",
    "#### Voilà, you made it 👏! \n",
    "\n",
    "In case of any issues or questions raise an issue on github - https://github.com/macwiatrak/Bacformer/issues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "94a0e899-dd25-416c-b34a-cf6358ab6687",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
